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New Relic AI (LLM Observability) MCP Server for Claude Desktop 10 tools — connect in under 2 minutes

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Claude Desktop is Anthropic's native application for interacting with Claude AI models on macOS and Windows. It was the first consumer application to ship with built-in MCP support, making it the reference implementation for the Model Context Protocol standard.

Vinkius supports streamable HTTP and SSE.

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Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install New Relic AI (LLM Observability) and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json
{
  "mcpServers": {
    "new-relic-ai-llm-observability": {
      // Your Vinkius token — get it at cloud.vinkius.com
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
New Relic AI (LLM Observability)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About New Relic AI (LLM Observability) MCP Server

Connect your New Relic AI account to any AI agent and take full control of your LLM observability, token cost tracking, and performance analytics through natural conversation.

Claude Desktop is the definitive way to connect New Relic AI (LLM Observability) to your AI workflow. Add the Vinkius Edge URL to your config, restart the app, and Claude immediately exposes all 10 tools in the chat interface — ask a question, Claude calls the right tool, and you see the answer. Zero code, zero context switching.

What you can do

  • LLM Telemetry Audit — Retrieve detailed LLM chat completion messages and prompt inputs directly from your agent to understand literal model behavior in real-time
  • Token Cost Tracking — Execute structural extraction of model costs to calculate exact USD token consumption across your entire AI infrastructure securely
  • Performance Monitoring — Extract p95 latency matrices and average response times to ensure your LLM text generation remains performant and sub-second
  • User Feedback Loop — Retrieve chronological feedback messages and 1-5 rating scores dumped by human supervisors to identify quality regressions natively
  • Custom NRQL Execution — Run sophisticated read-only queries using the New Relic Query Language (NRQL) to extract rich insights from multi-tenant AI datasets instantly
  • Custom Event Injection — Post atomic generic telemetry rows to track internal agent states and custom behavioral markers across your observability pipeline
  • Resource Discovery — Enumerate active APM apps, dashboards, and alert policies to audit your AI environment's structural health and PagerDuty configurations

The New Relic AI (LLM Observability) MCP Server exposes 10 tools through the Vinkius. Connect it to Claude Desktop in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect New Relic AI (LLM Observability) to Claude Desktop via MCP

Follow these steps to integrate the New Relic AI (LLM Observability) MCP Server with Claude Desktop.

01

Open Claude Desktop Settings

Go to Settings → Developer → Edit Config to open claude_desktop_config.json

02

Add the MCP Server

Paste the configuration above into the mcpServers section

03

Restart Claude Desktop

Close and reopen Claude Desktop to load the new server

04

Start using New Relic AI (LLM Observability)

Look for the 🔌 icon in the chat — your 10 tools are now available

Why Use Claude Desktop with the New Relic AI (LLM Observability) MCP Server

Claude Desktop by Anthropic provides unique advantages when paired with New Relic AI (LLM Observability) through the Model Context Protocol.

01

Claude Desktop is the reference MCP client — it was designed alongside the protocol itself, ensuring the most complete and stable MCP implementation available

02

Zero-code configuration: add a server URL to a JSON file and Claude instantly discovers and exposes all available tools in the chat interface

03

Claude's extended thinking capability lets it reason through multi-step tool usage, chaining multiple API calls to answer complex questions

04

Enterprise-grade security with local config storage — your tokens never leave your machine, and connections go directly to the Vinkius Edge network

New Relic AI (LLM Observability) + Claude Desktop Use Cases

Practical scenarios where Claude Desktop combined with the New Relic AI (LLM Observability) MCP Server delivers measurable value.

01

Interactive data exploration: ask Claude to query DNS records, look up WHOIS data, and cross-reference results in a single conversation

02

Ad-hoc security audits: type a domain name and let Claude enumerate subdomains, check DNS history, and flag configuration anomalies — all through natural language

03

Executive briefings: generate comprehensive domain intelligence reports by asking Claude to compile findings into a formatted summary

04

Learning and training: new team members can explore API capabilities conversationally without needing to read documentation

New Relic AI (LLM Observability) MCP Tools for Claude Desktop (10)

These 10 tools become available when you connect New Relic AI (LLM Observability) to Claude Desktop via MCP:

01

custom_nrql

Note that NRQL is read-only. Irreversibly vaporize explicit validations extracting rich Churn flags

02

list_alert_policies

Inspect deep internal arrays mitigating specific Plan Math

03

list_apm_apps

Dispatch an automated validation check routing explicit Gateway history

04

list_dashboards

Identify precise active arrays spanning native Gateway auth

05

post_custom_event

/events` inserting absolute generic `CustomAITelemetry` rows tracking internal agent state. Enumerate explicitly attached structured rules exporting active Billing

06

query_llm_costs

Perform structural extraction of properties driving active Account logic

07

query_llm_errors

Identify precise active arrays spanning native Hold parsing

08

query_llm_events

Identify bounded CRM records inside the Headless New Relic Platform

09

query_llm_feedback

Retrieve explicit Cloud logging tracing explicit Vault limits

10

query_llm_latency

Provision a highly-available JSON Payload generating hard Customer bindings

Example Prompts for New Relic AI (LLM Observability) in Claude Desktop

Ready-to-use prompts you can give your Claude Desktop agent to start working with New Relic AI (LLM Observability) immediately.

01

"Show me the last 5 LLM events for the 'OpenAI' vendor"

02

"What is my total LLM token cost for the last 24 hours?"

03

"Run NRQL: SELECT count(*) FROM LlmEvent WHERE duration > 2 SINCE 1 hour ago"

Troubleshooting New Relic AI (LLM Observability) MCP Server with Claude Desktop

Common issues when connecting New Relic AI (LLM Observability) to Claude Desktop through the Vinkius, and how to resolve them.

01

Server not appearing after restart

Ensure the JSON is valid (no trailing commas). Check the file path: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\\Claude\\ (Windows).
02

Authentication error

Verify your Vinkius token is correct. Go to cloud.vinkius.com to regenerate it if needed.
03

Tools not showing in chat

Click the 🔌 icon at the bottom of the chat input. If it shows 0 tools, the server may still be connecting — wait a few seconds.

New Relic AI (LLM Observability) + Claude Desktop FAQ

Common questions about integrating New Relic AI (LLM Observability) MCP Server with Claude Desktop.

01

How does Claude Desktop discover MCP tools?

When Claude Desktop starts, it reads the claude_desktop_config.json file and connects to each configured MCP server. It calls the tools/list endpoint to fetch the schema for every available tool, then surfaces them as clickable options in the chat interface via the 🔌 icon.
02

What happens if the MCP server is temporarily unavailable?

Claude Desktop handles disconnections gracefully — if the server is unreachable at startup, the tools simply won't appear. Once the server becomes available again, restarting Claude Desktop will re-establish the connection. There is no timeout penalty or error loop.
03

Can I connect multiple MCP servers simultaneously?

Yes. You can add as many servers as you need in the mcpServers section of the config file. Each server appears as a separate tool provider, and Claude can use tools from multiple servers in a single conversation turn.
04

Is there a limit on the number of tools per server?

Claude Desktop can handle hundreds of tools per server. However, for optimal LLM performance, Vinkius servers are designed to expose focused, well-documented tool sets rather than overwhelming the model with too many options.
05

Does Claude Desktop support Streamable HTTP transport?

Yes. Claude Desktop supports both SSE (Server-Sent Events) and the newer Streamable HTTP transport that Vinkius uses. Simply provide the server URL — Claude auto-negotiates the transport protocol.

Connect New Relic AI (LLM Observability) to Claude Desktop

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.